~/talk

Embracing Collisions to Increase Fidelity of Sensing Systems with COTS Tags

on YouTube 06m
Talkat UbiComp 2021 · 2021-09-21..09-26· [embedded-and-hardware]

speakers

name:Jiaqi Xu
links:none on file
name:Wei Sun
links:none on file
name:Kannan Srinivasan
links:none on file

resources

video:https://youtu.be/b6-Dv-tI_zg
slides:none on file

summary

COFFEE extracts per-tag channel state from collided RN16 transmissions on COTS passive RFID by parallel channel estimation and iterative signal cancellation, then identifies tags by matching extracted channels to historical channel fingerprints without decoding. Prototype uses a USRP reader with C1G2 tags and achieves up to 7.33x time-resolution gain (3.42x median average), beating prior physical-layer methods that only handle 3–5 tags. Error stays low for static scenarios but rises with faster tag motion, and the system requires no tag modification.

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